Scholar
Jelmer Borst
Google Scholar ID: KWjczRwAAAAJ
University of Groningen
Citations & Impact
Citations
1,963
H-index
26
i10-index
47
Publications
20
Co-authors
43
list available
Resume
Academic Achievements
- Showed that the symbolic process model outperforms traditional and parametric fMRI analysis methods; located working memory updates and declarative retrievals within the fronto-parietal network.
Research Experience
- Used a symbolic process model for model-based fMRI analysis; applied this method to five previously published datasets; collaborated with John Anderson to use Hidden Markov Models in combination with multivariate pattern analysis to automatically discover cognitive processing stages in EEG data.
Education
- PhD student in the Department of Artificial Intelligence at the University of Groningen until 2011, supervised by Niels Taatgen and Hedderik van Rijn.
Background
- Associate Professor in Computational Cognitive Neuroscience, with a main research interest in developing and improving analysis methods that connect computational (cognitive) models to neuroimaging data.
Miscellany
- Currently advising one postdoc, Gabriel Weindel, and five PhD candidates: Ram Eshwar Kaundinya, Moritz Held, Joshua Krause, Yuanyuan Weng, Yiyue Zhang.
